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HephIA
Scalable Intelligence

 

Logo HephIA

Unsupervised Large-Scale AI for enterprises.

HephIA helps your organization manage modern data challenges by storing and organizing large and complex data without having to label your data in advance.

HephIA enables your organization to tame your big data into smart data. Make your AI and engineering projects successful with a deep understanding of your data and its intrinsic value. Reduce time consumption on data projects and increase knowledge reliability, while safely accelerating the go to market of your data in production.

HephIA
Scalable Intelligence

 

Unsupervised Large-Scale AI for enterprises.

HephIA helps your organization manage modern data challenges by organizing large and complex data without having to label your data in advance.

HephIA enables your organization to tame your big data into smart data. Make your AI and engineering projects successful with a deep understanding of your data and its intrinsic value. Reduce time consumption on data projects and increase knowledge reliability, while safely accelerating the go to market of your data in production.

Logo HephIA

LABEL-FREE AI

Reduction, Categorization,
Rare Cases, Anomalies,
And more !

LARGE SCALE

Tailored for Big Data

 

ON VARIOUS DATA

Numeric, Categorical, Temporal (Univariate, Multivariate), …

From research laboratory to industry

The development of AI tools proposed by the company is based on a long-standing laboratory history around the team research in scalable unsupervised AI, notably within the Computer science laboratory (LIPN, UMR CNRS 7030) of Sorbonne Paris Nord university (USPN).

The work of the group is the result of numerous research and industrial partnerships on very ambitious projects with contributions to various fields including: automotive, aeronautics, survey analysis, bioinformatics, information retrieval and the environment.

A solution complementing market tools for the industry

Scalable Unsupervised learning is a subfield of AI rich in essential and powerful models to tackle large-scale AI projects. This family of technologies enables large amounts of data, not easily understandable by human operators in their raw form, to be organized and abstracted, providing a human expert with a global overview and understanding of their data, without requiring the definition of labels or tags beforehand. These techniques can also be used as an efficient preliminary phase of supervised AI / label prediction pipelines.

 

An Industrialized Solution for your architecture

 

HephIA aims at providing industrialized tools compatible with your data ecosystem, whether you need an on-premise or cloud deployment (on your tenant! HephIA never sees your data).

And, without having to deal with large-scale specific compute architecture yourself.

IA non supervisée

Scalable Unsupervised AI at your service

 

Billions of customers, millions of products, thousands of characteristics… How much time does it take to segment your data?
Far less if you use the right AI.

AI is increasingly present in 21st century industries. The benefits are already being seen in industries where it has been democratized, such as pharmaceuticals, automotive and retail.

While AI used in industries is today massively supervised, by the use of labels / tags, with a label predictive purpose, it is essential to also develop unsupervised AI, not requiring these often incomplete, erroneous or missing labels. HephIA seeks to promote this complementary unsupervised AI field by proposing state-of-the-art solutions to every enterprise.

Who are we ?

HephIA has been cofounded by Gaël Beck, Anthony Coutant and Mustapha Lebbah, 3 PhDs in AI having worked together on unsupervised AI projects at the LIPN (UMR CNRS 7030) laboratory, in partnership with large companies having big needs for massive data exploration. The executive team is supplemented with Yann Girard, a 20 years experienced data engineering and industrialisation expert, to guarantee top industrial-level quality.

Anthony Coutant, Ph.D. & Co-founder

With a Ph.D. in AI and a dual profile in software engineering for business information systems management, Anthony has developed a sensitivity for the development of efficient software tools for AI. He has experience of more than 7 years on ambitious AI projects, both in academic and industrial contexts.

Gaël Beck

Gaël Beck, Ph.D. & Co-founder

Ph.D. in large-scale AI, and expert in functional object programming, Gaël loves Scala, which he uses in all his projects. His field experience as a Machine Learning engineer for several years at Kameleoon allowed him to successfully lead projects mixing state-of-the-art AI, scalability on big data, and industrialization of concrete solutions.

Mustapha Lebbah, Ph.D., HdR & Co-founder

Mustapha Lebbah has been teaching and researching in AI since 2005, and is a member of the A3 team specialized in Machine Learning in the LIPN lab. Senior Expert in large-scale unsupervised AI, he is the author of multiple publications and has supervised nearly 15 doctoral students on the subject. His research history is marked by numerous academic and industrial partnerships on very ambitious projects.

Yann Girard, Lead Data Scientist & Product

Yann Girard has been in data and AI projects for more than 20 years. He has developed a strong expertise in adapting data science to domain field & business challenges. Yann has been the witness of multiple successful and failed projects around him, and is convinced that unsupervised AI is the missing link for many real life projects to go from ideation to production. For these reasons, Yann joined HephIA to help transform research-rooted solutions into real market-ready products.

HephIA

Partners

HephIA has received financial support from the Erganeo SATT (Technology Transfer Acceleration Company).

The LIPN and the USPN also support the project.

 

Let’s talk!

contacthephia.com
(or directly send a message below)

HephIA
30 Rue de Gramont,
75002 Paris, France

LIPN, UMR CNRS 7030
Institut Galilée – Université Paris 13
99, avenue Jean-Baptiste Clément
93430 Villetaneuse

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